SlideShare a Scribd company logo
WHEN YOU GET LOST
IN API TESTING
Paula Čučuk & Antonio Perić - Mažar
About us
Paula Antonio
paula@locastic.com antonio@locastic.com
@paulala_14 @antonioperic
CEO @ LocasticBackend developer @ Locastic
Locastic
Helping clients create web
and mobile apps since 2011
• UX/UI
• Mobile apps
• Web apps
• Training & Consulting
www.locastic.com
@locastic
What happens when you
don’t write tests?
Destroyed 293 seconds
after liftoff because of
one wrong character in
formula
$135 million lost!
Not a rocket developer?
Writing tests benefits
Reducing the number of bugs
Improving code quality
Easier and faster refactoring
Time saving
Use-case based documentation
The test pyramid
Unit tests
Unit testing is a level of testing where individual
units/components are tested. The purpose is to
validate that each separate unit performs as expected.
A unit is the smallest testable part of any software.
It’s not unit tests, it’s you!
Refactor your code using SOLID principles.
Are unit tests enough?
Integration tests
Integration testing is the phase in software testing
in which individual software modules are combined and
tested as a group.
When to use integration tests
Validation

3rd party integration

Database queries

Verifying two or more modules which have unit tests work as expected
together
Functional tests
Functional testing is defined as the testing of
complete functionality of some application.
Functional tests
In each functional tests check:
Response code
Response header
Response content: contains expected fields in expected
format
Functional tests
Test that each endpoint behaves as expected for:
OK request and response
Bad request and Validation response
Forbidden access response
Let’s test puzzles!
Unit tests
Assert it has image
Assert it has puzzle shape
Assert it can be moved
Assert it can be merged
Integration tests
Assert two puzzles fit ok
together by shape and image
Integration tests
Assert it throws an exception
when combining two puzzles that
don’t fit together by shape
Integration tests
Assert it throws an exception
when combining two puzzles that
fit together by shape but don’t fit by
image
Functional tests
Assert it returns OK response
Assert it has correct headers
Functional tests
Assert it returns bad request response
Assert it has correct headers
What we learned along the way
Do I need to write tests first?
It’s just one of the approaches
Do I need to have 100% coverage?
100% coverage doesn’t guarantee your code is
fully tested and working
What about legacy code?
1. Start replicating bugs with tests before fixing them
2. Test at least most important and critical parts
How do I test some specific code?
Check out the tests of the libraries and framework you
are using
How do I know if the tests I wrote are good
enough?
Ask yourself:
“Am I sure the code I tested works as it should?”
Tools for checking test quality
Infection
Tool for mutation testing in PHP
PHP Stan
PHP Static Analysis Tool
Continuous integration (CI)
Tool for tuning tests on GIT
Handy testing tools
The test Http Client in API Platform
Created for PHPUnit

Manipulates the Symfony HttpKernel directly to simulate HTTP requests
and responses

Huge performance boost compared to triggering real network requests
The test Http Client in API Platform
PHP Matcher
Library that enables you to check your response against patterns.
PHP Matcher
Library that enables you to check your response against patterns.
Faker
Library for generating random data
Postman tests
Postman tests + Newman
Run and test a Postman Collection directly from the command line
Conclusion
• You should write tests! 

• It’s important to write Unit, Integration and Functional tests

• If something is hard to test - refactor it

• Check out the tools we mentioned
Thank you!
Questions?
Paula Antonio
paula@locastic.com antonio@locastic.com
@paulala_14 @antonioperic
CEO @ LocasticBackend developer @ Locastic

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